Weโre now on Bluesky! ๐ The Women in Network Science (WiNS) Society connects and supports network scientists who identify as underrepresented genders in the field. Follow us on Bluesky for updates on events, opportunities, and exciting research!
๐@wins-society.bsky.social
The Women in Network Science Society is hosting a half-day satellite at NetSci 2025 (@NetSciConf) in Maastricht ๐ณ๐ฑ!
Submit your abstract here:
https://t.co/Wvc4O2cA9X
Deadline: February 17th
Full event details:
https://t.co/PoaBTVIMyM
#NetSci2025#WomenInNetworkScience
New paper out (with @camcam) ๐ฅณ
Want to understand how your network's metadata relate to its block structure? Check out our 'metablox' tool! @CommsPhys
"Quantifying metadata relevance to network block structure using description length" ๐งต(1/5)
https://t.co/vU5c46c04d
We showcase how metablox works on a number of synthetic and empirical networks, and that it can be used in comparative settings: if you have an entire collection of networks with shared metadata OR a network with multiple sets of categorical metadata. (4/5)
Today, the 14th of December, I submit my PhD Thesis, exactly 2 years after I entered open heart surgery in the middle of my PhD, in the middle of a Pandemic. Today, I say thank you to all those on the path; we thrive together and I am thanks to you ๐
(Read the photos)
If you're in Berlin on 12 Dec and would like to hear what we've been up to in the CSS team (and have beers with us afterwards) - come to our Winter Symposium!
We are happy to announce the CSS Team Winter Symposium! The event will take place on 12.12, 2-6pm, at @CentreMarcBloch. After 6pm, there will be time for discussions, for which โ in usual CSS seminar style โ we will provide drinks and food. More infos: https://t.co/FbubgvymBH
Our model serves as a benchmark for future research, to gauge how mesoscale structure detection algorithms deal with mesoscale ambiguity + we emphasise the importance of considering coexisting structures. (6/6)
Still can't quite believe my first ever paper (together with @camcam) has been accepted by @PhysRevE !
"Generative models for two-ground-truth partitions in networks" ๐งต (1/6) https://t.co/5DsG76G72V
In our experimental set-up, the coexistence of the two partitions was only detected in a small number of cases โ mostly one (dominating) structure was preferred! (5/6)